diff --git a/.copier-answers.yml b/.copier-answers.yml index b2d2747..d629db3 100644 --- a/.copier-answers.yml +++ b/.copier-answers.yml @@ -1,13 +1,13 @@ # Changes here will be overwritten by Copier -# DO NOT MANUALLY MODIFY THIS FILE +# !!!!! DO NOT MANUALLY MODIFY THIS FILE !!!!! _commit: latest _src_path: https://github.com/calliope-project/data-module-template.git author_email: i.ruizmanuel@tudelft.nl author_family_name: Ruiz Manuel author_given_name: Ivan -github_org: calliope-project +github_org: modelblocks-org license: Apache-2.0 module_description: A module to calculate hydropower inflow timeseries for facilities - around the globe. Based on Euro-Calliope methods. -module_long_name: clio - Hydropower module + around the globe, based on Euro-Calliope methods. +module_long_name: Modelblocks - Hydropower module module_short_name: module_hydropower diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md index cd94c32..1b66ddc 100644 --- a/.github/ISSUE_TEMPLATE/bug_report.md +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -24,7 +24,7 @@ A clear and concise description of what you expected to happen. If applicable, add screenshots to help explain your problem. **Desktop (please complete the following information):** - - OS: [e.g. Linux Fedora 41, Windows 10...] + - OS: [e.g. Linux Fedora 43, Windows 11...] - Version [e.g. v0.1.1] **Additional context** diff --git a/.github/ISSUE_TEMPLATE/config.yaml b/.github/ISSUE_TEMPLATE/config.yaml new file mode 100644 index 0000000..28da94d --- /dev/null +++ b/.github/ISSUE_TEMPLATE/config.yaml @@ -0,0 +1,5 @@ +blank_issues_enabled: false +contact_links: + - name: General information + url: https://www.modelblocks.org/ + about: Please consult our website for general information on the Modelblocks methodology. diff --git a/.github/pull_request_template.md b/.github/pull_request_template.md index 9610b97..400a69f 100644 --- a/.github/pull_request_template.md +++ b/.github/pull_request_template.md @@ -8,6 +8,11 @@ Fixes # ## Reviewer checklist -* [ ] `INTERFACE.yaml` is up-to-date with all relevant user resources and results. -* [ ] The integration example is up-to-date with a minimal use-case of the module. -* [ ] Module documentation is up-to-date. +* [ ] There are no `pip` dependencies in the module's environment files (`workflow/envs/`). +* [ ] All rules use `pathvars` (e.g., ``) in their inputs and outputs. +* [ ] The integration test-suite is successful, including: + * [ ] `pre-commit.ci` tests pass. + * [ ] tests pass for all relevant OS configurations (linux, osx, windows). +* [ ] Module documentation is up-to-date, including: + * [ ] `INTERFACE.yaml` mentions all relevant `pathvars` and `wildcards`. + * [ ] `README.md` describes how to use the module and has the necessary citations. diff --git a/.github/workflows/check-version.yml b/.github/workflows/check-version.yml index 8e57b32..0a4a602 100644 --- a/.github/workflows/check-version.yml +++ b/.github/workflows/check-version.yml @@ -6,4 +6,4 @@ on: jobs: copier-update: - uses: calliope-project/data-module-template/.github/workflows/template-check-version.yml@latest + uses: modelblocks-org/data-module-template/.github/workflows/template-check-version.yml@latest diff --git a/.github/workflows/pr-ci.yml b/.github/workflows/pr-ci.yml index fcae371..6290d3e 100644 --- a/.github/workflows/pr-ci.yml +++ b/.github/workflows/pr-ci.yml @@ -1,11 +1,43 @@ -name: CI +# !!!!! DO NOT MODIFY UNLESS ABSOLUTELY NECESSARY !!!!! +# This workflow helps standardise integration tests across data modules +name: Pull Request CI tests for Modelblocks data modules on: pull_request: branches: - "main" - jobs: - ci-tests: - uses: calliope-project/data-module-template/.github/workflows/template-pr-ci.yml@feature-ci-cdsapi - secrets: + build: + name: Build + runs-on: ${{ matrix.os }} + strategy: + fail-fast: false + matrix: + os: [ubuntu-latest, windows-latest, macos-latest] + python-version: ["3.12"] + env: CDSAPI_KEY: ${{ secrets.CDSAPI_KEY }} + steps: + - uses: actions/checkout@v4 + - name: Setup pixi + uses: prefix-dev/setup-pixi@v0.8.3 + - name: Run integration tests + id: tests + run: pixi run test-integration + continue-on-error: true + - name: Run snakemake linting + id: linting + run: | + pixi run snakemake --lint --snakefile workflow/Snakefile + pixi run snakemake --lint --snakefile tests/integration/Snakefile + continue-on-error: true + - name: Save integration logs + if: ${{ always() }} + uses: actions/upload-artifact@v4 + with: + name: integration-test-logs-${{ matrix.os }} + path: tests/integration/results/integration_test/logs + if-no-files-found: ignore + retention-days: 30 + - name: Fail if integration or linting failed + if: ${{ steps.tests.outcome == 'failure' || steps.linting.outcome == 'failure' }} + run: exit 1 diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 32ab6f2..7e25226 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -6,4 +6,6 @@ on: jobs: release-workflow: - uses: calliope-project/data-module-template/.github/workflows/template-release.yml@latest + permissions: + contents: write + uses: modelblocks-org/data-module-template/.github/workflows/template-release.yml@latest diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index 9ee8feb..ee62b90 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -12,6 +12,7 @@ repos: # Repo quality - id: check-added-large-files args: [--enforce-all --maxkb=600] + exclude: ^pixi\.lock$ - id: forbid-submodules - id: check-case-conflict - id: check-illegal-windows-names @@ -32,7 +33,7 @@ repos: # Snakemake file formatting - repo: https://github.com/snakemake/snakefmt - rev: v0.11.0 + rev: v0.11.4 hooks: - id: snakefmt @@ -44,4 +45,4 @@ repos: files: .*\.(py|smk|md)$|^Snakefile$ ci: # https://pre-commit.ci/ - autoupdate_schedule: monthly + autoupdate_schedule: quarterly diff --git a/AUTHORS b/AUTHORS index cc8d46d..b0ce4fa 100644 --- a/AUTHORS +++ b/AUTHORS @@ -2,6 +2,6 @@ This is the list of contributors for copyright purposes. This does not necessarily list everyone who has contributed to this software's code or documentation. For a full contributor list, see: - + Ivan Ruiz Manuel, diff --git a/CITATION.cff b/CITATION.cff index d6e6a5b..782d79b 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -3,8 +3,8 @@ # https://citation-file-format.github.io/ cff-version: 1.2.0 message: If you use this software or data produced by it, please cite it using the metadata from this file. -title: "clio - module_hydropower: clio - Hydropower module" -repository: "https://github.com/calliope-project/module_hydropower" +title: "Modelblocks - module_hydropower: Hydropower module" +repository: "https://github.com/modelblocks-org/module_hydropower" license: Apache-2.0 authors: - given-names: Ivan diff --git a/INTERFACE.yaml b/INTERFACE.yaml index 161a999..c26b8ba 100644 --- a/INTERFACE.yaml +++ b/INTERFACE.yaml @@ -1,17 +1,39 @@ # Module Input-Output structure for automated doc. generation -resources: - user: - "{shapes}/powerplants.parquet": Powerplant statistics. - "{shapes}/shapes.parquet": Resolution shapes, used for capacity aggregation. -results: - "{shapes}/statistics/generation.parquet": > - National hydropower generation statistics for the requested shapes. - "{shapes}/disaggregated/inflow_mwh.parquet": > - Inflow time series for each powerplant in MWh. - Only includes powerplants that fall within the provided shapes after buffering. - "{shapes}/aggregated/reservoir_cf.parquet": > - Capacity Factors of hydropower reservoirs aggregated to shapes. - "{shapes}/aggregated/run_of_river_cf.parquet": > - Capacity Factors of run of river plants aggregated to shapes. +pathvars: + snakemake_defaults: + logs: + default: "" + description: location of rule log files. + resources: + default: "" + description: "location of module resource files." + results: + default: "" + description: "location of module results." + user_resources: + shapes: + default: "/user/{shapes}/shapes.parquet" + description: | + Region-specific polygons to process during aggregation. + See the schemas in `workflow/scripts/_schemas.py` for more information. + powerplants: + default: "/user/{shapes}/powerplants.parquet" + description: | + Powerplant statistics. + See the schemas in `workflow/scripts/_schemas.py` for more information. + results: + statistics: + default: "/{shapes}/statistics/generation.parquet" + description: National hydropower generation statistics for the requested shapes. + disaggregated_inflow: + default: "/{shapes}/disaggregated/inflow_mwh.parquet" + description: > + Inflow time series for each powerplant in MWh. + Only includes powerplants that fall within the provided shapes and buffer distance. + aggregated_inflow_pu: + default: "/{shapes}/aggregated/{plant_type}_inflow_pu.parquet" + description: > + Inflow per-unit (PU) of capacity timeseries of a hydropower plant type, per shapes. wildcards: shapes: name of the provided shapes case. + plant_type: Either 'run_of_river' or 'reservoir'. diff --git a/LICENSE b/LICENSE index 01d12ec..3946dd7 100644 --- a/LICENSE +++ b/LICENSE @@ -186,7 +186,7 @@ same "printed page" as the copyright notice for easier identification within third-party archives. - Copyright 2025 AUTHORS + Copyright 2026 AUTHORS Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. diff --git a/README.md b/README.md index 387748f..96f6a51 100644 --- a/README.md +++ b/README.md @@ -1,21 +1,79 @@ -# clio - Hydropower module +# Modelblocks - Hydropower module -A module to calculate hydropower inflow timeseries for facilities around the globe. Based on Euro-Calliope methods. +A module to calculate hydropower inflow timeseries for facilities around the globe, based on Euro-Calliope methods. -A modular `snakemake` workflow built for [`clio`](https://clio.readthedocs.io/) data modules. + +

+ +

-## Using this module +## About + -This module can be imported directly into any `snakemake` workflow. -Please consult the integration example in `tests/integration/Snakefile` for more information. +This is a modular `snakemake` workflow created as part of the [Modelblocks project](https://www.modelblocks.org/). It can be imported directly into any `snakemake` workflow. + +For more information, please consult the Modelblocks [documentation](https://modelblocks.readthedocs.io/en/latest/), +the [integration example](./tests/integration/Snakefile), +and the `snakemake` [documentation](https://snakemake.readthedocs.io/en/stable/snakefiles/modularization.html). + +## Overview + + +Data processing steps: + +

+ +

+ +1. A global dataset of hydro basins is created for a requested Pfafstetter level using data from the [HydroBASINS](https://www.hydrosheds.org/products/hydrobasins) dataset. +2. Individual powerplant locations (provided by the user) are adjusted using a buffer distance to ensure their location is within the nearest basin. + +

+ +

+ +3. User provided shapes, powerplants and configuration are used to construct a data request to the [Copernicus Data Store](https://cds.climate.copernicus.eu/) using the [`atlite` library](https://github.com/PyPSA/atlite). +4. `atlite` is used to construct inflow timeseries per powerplant. +5. Inflow timeseries are combined and aggregated to the requested resolution, using national-level statistics from the [EIA](https://www.eia.gov/international/) as a guiding normalisation heuristic for total generation. +6. Per-unit inflow timeseries ($PU_{t,r}$) are produced for each region with available capacity. +The relation is $InflowMWh_{t,r} = PU_{t,r} \cdot Cap_{r}$, where $Cap_r$ is the capacity per region. + - For run of river powerplants, the timeseries are capped so they may not exceed available capacity. + - For reservoirs, the timeseries are capped so inflow cannot exceed 10 times the available capacity. + +

+ +

+ +> [!CAUTION] +> Please be aware of the following limitations. +> +> The module assumes the shapes and powerplants provided by the user correspond to national totals, meaning that (for now) the module **will not adequately process subnational cases unless they are a subset of the total national scope**. +> +> The module adjusts inflow timeseries using national generation totals as a way to estimate the per-region output in each year. +> This approach is a **heuristic**. + +## Configuration + + +Please consult the configuration [README](./config/README.md) and the [configuration example](./config/config.yaml) for a general overview on the configuration options of this module. + +## Input / output structure + + +As input, you need a file with the polygons to aggregate into (the 'shapes'), and a file specifying national hydropower plants (either RoR or reservoir). These files should follow the `pandera` schemas specified in [_schemas.py](./workflow/scripts/_schemas.py), and can be created using other Modelblocks modules. + +Outputs include aggregated timeseries per hydropower plant type, disaggregated inflow timeseries (per point powerplant), and national generation statistics. + +Please consult the [interface file](./INTERFACE.yaml) for more information. ## Development + We use [`pixi`](https://pixi.sh/) as our package manager for development. -Once installed, run the following to clone this repo and install all dependencies. +Once installed, run the following to clone this repository and install all dependencies. ```shell -git clone git@github.com:calliope-project/module_hydropower.git +git clone git@github.com:modelblocks-org/module_hydropower.git cd module_hydropower pixi install --all ``` @@ -26,12 +84,6 @@ For testing, simply run: pixi run test-integration ``` -To view the documentation locally, use: - -```shell -pixi run serve-docs -``` - To test a minimal example of a workflow using this module: ```shell @@ -39,3 +91,23 @@ pixi shell # activate this project's environment cd tests/integration/ # navigate to the integration example snakemake --use-conda --cores 2 # run the workflow! ``` + +## References + + +This module is based on the following research and datasets: + +* **Basins: HydroSHEDS.** +Lehner, B., Grill G. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186. + - Please consult the [declaration statement](./workflow/internal/HydroSHEDS.txt) in this repository for further details. +* **Inflow timeseries dataset.** +Hersbach H, Bell B, Berrisford P, et al. The ERA5 global reanalysis. Q J R Meteorol Soc. 2020;146:1999–2049. +* **Inflow timeseries processing.** +Hofmann et al., (2021). atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series. Journal of Open Source Software, 6(62), 3294, +* **Reference source code for national adjustment heuristic.** +Tröndle, T., & Pickering, B. (2021). Euro-Calliope (Version 1.2.0.dev) [Computer software]. + - MIT licensed. Please consult our source code for details. +* **National hydropower generation dataset.** U.S. Energy Information Administration (Oct 2008). + +Additionally, this module relies on the following for testing and stable integration: +* **Data stability aid.** Ruiz Manuel, I., & Pfenninger, S. (2026). Modelblocks - module hydropower (v0.1.0) [Data set]. Zenodo. diff --git a/config/README.md b/config/README.md index 2bd88fa..720820c 100644 --- a/config/README.md +++ b/config/README.md @@ -1,9 +1,8 @@ -# Configuration +We recommend consulting the following before using this module: +- `config/config.yaml`: a generic example configuration of this module. +- `workflow/internal/config.schema.yaml`: a schematic overview of all the configuration options of this module. +- `INTERFACE.yaml`: lists module input and output files, and their default locations. +- `tests/integration/Snakefile`: an example of how to call this module from another workflow. -This workflow is part of the [clio project](https://clio.readthedocs.io/en/latest/). -Please consult our documentation for more details. -Other useful resources are: - -- `INTERFACE.yaml`: user input files (placed in `resources/user`) and module output files (placed in `results`). -- `workflow/internal/config.schema.yaml`: general configuration options. -- `tests/integration/`: a simple example of how to use this module. +This data module is part of the [Modelblocks](https://www.modelblocks.org/) project. +Please consult the [Modelblocks documentation](https://modelblocks.readthedocs.io/) for more details. diff --git a/config/config.yaml b/config/config.yaml index e9457e0..19cc372 100644 --- a/config/config.yaml +++ b/config/config.yaml @@ -14,4 +14,4 @@ powerplants: crs: projected: "epsg:3857" geographic: "epsg:4326" -smoothing_hours: "168h" +smoothing_hours: "72h" diff --git a/docs/hydro_dam_cf.png b/docs/hydro_dam_cf.png deleted file mode 100644 index 9984348..0000000 Binary files a/docs/hydro_dam_cf.png and /dev/null differ diff --git a/docs/index.md b/docs/index.md deleted file mode 100644 index 47bd90b..0000000 --- a/docs/index.md +++ /dev/null @@ -1,4 +0,0 @@ -# Home - -Welcome to the documentation of the `module_hydropower` data module! -Please consult the [specification guidelines](./specification.md) and the [`clio` documentation](https://clio.readthedocs.io/) for more information. diff --git a/figures/.gitkeep b/figures/.gitkeep new file mode 100644 index 0000000..dcafcbe --- /dev/null +++ b/figures/.gitkeep @@ -0,0 +1 @@ +# For module documentation figures diff --git a/figures/adjusted_powerplants.png b/figures/adjusted_powerplants.png new file mode 100644 index 0000000..d1f134e Binary files /dev/null and b/figures/adjusted_powerplants.png differ diff --git a/figures/reservoir_inflow_pu.png b/figures/reservoir_inflow_pu.png new file mode 100644 index 0000000..0e5b5d8 Binary files /dev/null and b/figures/reservoir_inflow_pu.png differ diff --git a/figures/rulegraph.png b/figures/rulegraph.png new file mode 100644 index 0000000..35a8827 Binary files /dev/null and b/figures/rulegraph.png differ diff --git a/mkdocs.yaml b/mkdocs.yaml deleted file mode 100644 index b987466..0000000 --- a/mkdocs.yaml +++ /dev/null @@ -1,67 +0,0 @@ -# yaml-language-server: $schema=https://squidfunk.github.io/mkdocs-material/schema.json - -site_name: clio - Hydropower module -site_url: https://module_hydropower.readthedocs.io/ -repo_name: module_hydropower -repo_url: https://github.com/calliope-project/module_hydropower/ -edit_uri: edit/main/docs/ -theme: - name: material - features: - - navigation.footer - - navigation.instant - - navigation.tabs - - navigation.tabs.sticky - - navigation.indexes - - search.suggest - - search.highlight - - toc.follow - palette: - # Palette toggle for automatic mode - - media: "(prefers-color-scheme)" - toggle: - icon: material/brightness-auto - name: Switch to light mode - primary: red - accent: pink - # Palette toggle for light mode - - media: "(prefers-color-scheme: light)" - scheme: default - toggle: - icon: material/weather-sunny - name: Switch to dark mode - primary: red - accent: pink - # Palette toggle for dark mode - - media: "(prefers-color-scheme: dark)" - scheme: slate - toggle: - icon: material/weather-night - name: Switch to system preference - primary: red - accent: pink -markdown_extensions: - - admonition - - pymdownx.arithmatex: - generic: true - - pymdownx.betterem: - smart_enable: all - - pymdownx.details - - pymdownx.emoji: - emoji_index: !!python/name:material.extensions.emoji.twemoji - emoji_generator: !!python/name:material.extensions.emoji.to_svg - - pymdownx.highlight: - anchor_linenums: true - - pymdownx.snippets: - check_paths: true - restrict_base_path: true - - pymdownx.superfences: - custom_fences: - - name: mermaid - class: mermaid - format: !!python/name:mermaid2.fence_mermaid_custom - - toc: - anchorlink: true -plugins: - - search -copyright: Copyright © since 2025 module_hydropower contributors (Apache-2.0 licensed) diff --git a/mypy.ini b/mypy.ini index c7b2d53..6769a42 100644 --- a/mypy.ini +++ b/mypy.ini @@ -1,3 +1,4 @@ [mypy] disable_error_code = import-untyped exclude = (^|/)\.(snakemake|pixi)(/|$) +exclude_gitignore = True diff --git a/pixi.lock b/pixi.lock index e11f8d5..a5c5324 100644 --- a/pixi.lock +++ b/pixi.lock @@ -4,768 +4,1597 @@ environments: channels: - url: https://conda.anaconda.org/conda-forge/ - url: https://conda.anaconda.org/bioconda/ + options: + pypi-prerelease-mode: if-necessary-or-explicit packages: linux-64: - - conda: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 - - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2 - - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-48.1-unix_0.conda + - conda: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-20_gnu.conda + - conda: https://conda.anaconda.org/conda-forge/noarch/_python_abi3_support-1.0-hd8ed1ab_2.conda + - conda: https://conda.anaconda.org/conda-forge/noarch/adwaita-icon-theme-49.0-unix_0.conda - conda: https://conda.anaconda.org/conda-forge/noarch/amply-0.1.6-pyhd8ed1ab_1.conda - conda: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda - conda: https://conda.anaconda.org/conda-forge/noarch/appdirs-1.4.4-pyhd8ed1ab_1.conda - 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Based on Euro-Calliope methods." +description = "A module to calculate hydropower inflow timeseries for facilities around the globe, based on Euro-Calliope methods." license = "Apache-2.0" readme = "README.md" channels = ["conda-forge", "bioconda"] platforms = ["win-64", "linux-64", "osx-arm64"] -homepage = "https://clio.readthedocs.io/" +homepage = "https://www.modelblocks.org/" [dependencies] -clio-tools = ">=2025.03.03" +clio-tools = ">=2026.03.30" conda = ">=25.0.0" ipdb = ">=0.13.13" ipykernel = ">=6.29.5" @@ -19,7 +19,24 @@ pytest = ">=8.3.5" python = ">=3.12" ruff = ">=0.9.9" snakefmt = ">=0.10.2" -snakemake-minimal = ">=8.29.0" +snakemake-minimal = ">=9.19.0" +pytz = ">=2026.1.post1" [tasks] -test-integration = {cmd = "pytest tests/clio_test.py"} +test-integration = {cmd = "pytest tests/integration_test.py"} + +[feature.hydropower] +channels = ["conda-forge", "nodefaults"] + +[feature.hydropower.dependencies] +atlite = "0.4.0.*" +geopandas = "1.0.1.*" +ipdb = "0.13.13.*" +numpy = "2.2.4.*" +pandas = "2.2.3.*" +pandera-geopandas = "0.24.*" +pyarrow = "19.0.1.*" +scipy = "1.15.2.*" + +[environments] +hydropower = { features = ["hydropower"], no-default-feature = true } diff --git a/resources/.gitkeep b/resources/.gitkeep deleted file mode 100644 index 0b6bf8c..0000000 --- a/resources/.gitkeep +++ /dev/null @@ -1 +0,0 @@ -# User inputs should be placed here diff --git a/tests/conftest.py b/tests/conftest.py index 417556e..c7e0d9c 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -7,7 +7,7 @@ import pytest -TEST_FILES = "https://www.dropbox.com/scl/fi/nq4zapmr6w6ntknz97kjq/test_suite.zip?rlkey=52c73fbxk79mk8syznz0fgzx9&st=k0jqhfhi&dl=1" +TEST_FILES = "https://zenodo.org/records/19401947/files/test_suite.zip?download=1" @pytest.fixture(scope="session") diff --git a/tests/integration/Snakefile b/tests/integration/Snakefile index ab10a26..0c0c2d2 100644 --- a/tests/integration/Snakefile +++ b/tests/integration/Snakefile @@ -4,24 +4,41 @@ configfile: workflow.source_path("./test_config.yaml") # Import the module and configure it. # `snakefile:` specifies the module. It can use file paths and special github(...) / gitlab(...) markers +# `config`: specifies the module configuration. +# `pathvars:` helps you re-wire where the module places files. module module_hydropower: snakefile: "../../workflow/Snakefile" config: config["module_hydropower"] - prefix: - "results/integration_test/" + pathvars: + # Redirect specific user resources (inputs) + shapes="resources/inputs/{shapes}/shapes.parquet", + powerplants="resources/inputs/{shapes}/powerplants.parquet", + # Redirect specific module results (outputs) + aggregated_inflow_pu="results/outputs/{shapes}/{plant_type}_pu.parquet", + # Redirect module intermediate files + logs="resources/hydropower/logs", + resources="resources/hydropower/resources", + results="resources/hydropower/results", # rename all module rules with a prefix, to avoid naming conflicts. use rule * from module_hydropower as module_hydropower_* +PLANTS = ["run_of_river", "reservoir"] +SHAPES = ["MNE"] + + # Request something from the module rule all: message: - "Generate CF timeseries for a small country." + "Generate PU timeseries for a small country." default_target: True input: - "results/integration_test/results/MNE/aggregated/reservoir_cf.parquet", - "results/integration_test/results/MNE/aggregated/run_of_river_cf.parquet", + expand( + "results/outputs/{shapes}/{plant_type}_pu.parquet", + shapes=SHAPES, + plant_type=PLANTS, + ), diff --git a/tests/integration/test_config.yaml b/tests/integration/test_config.yaml index 8f85b4f..f553b01 100644 --- a/tests/integration/test_config.yaml +++ b/tests/integration/test_config.yaml @@ -1,3 +1,5 @@ +# A lightweight configuration. +# Designed to minimise timeouts during automated testing on Github module_hydropower: pfafstetter_level: "01" # Use an extremely coarse basin resolution years: diff --git a/tests/clio_test.py b/tests/integration_test.py similarity index 82% rename from tests/clio_test.py rename to tests/integration_test.py index 6a5ae97..20a5223 100644 --- a/tests/clio_test.py +++ b/tests/integration_test.py @@ -1,7 +1,7 @@ -"""Set of standard clio tests. +"""Set of standard Modelblocks tests. -DO NOT MANUALLY MODIFY THIS FILE! -It should be updated through our templating functions. +PLEASE ENSURE THIS SET OF MINIMAL TESTS WORKS BEFORE PUBLISHING YOUR MODULE. +Contents may be updated in future template updates. """ import os @@ -27,8 +27,9 @@ def integration_path(user_path: Path, module_path: Path): """Ensures the minimal integration test is ready.""" integration_dir = Path(module_path / "tests/integration") if integration_dir.exists(): # clean everything + shutil.rmtree(integration_dir / "resources/", ignore_errors=True) shutil.rmtree(integration_dir / "results/", ignore_errors=True) - user_integ_dir = integration_dir / "results/integration_test/resources/user/" + user_integ_dir = integration_dir / "resources/inputs/" files_to_copy = ["MNE/powerplants.parquet", "MNE/shapes.parquet"] for file in files_to_copy: destination_file = Path(user_integ_dir / file) @@ -45,15 +46,18 @@ def test_interface_file(module_path): @pytest.mark.parametrize( "file", [ - "CITATION.cff", "AUTHORS", + "CITATION.cff", "INTERFACE.yaml", "LICENSE", + "README.md", + "config/config.yaml", + "workflow/internal/config.schema.yaml", "tests/integration/Snakefile", ], ) def test_standard_file_existance(module_path, file): - """Check that a minimal set of files used for clio automatic docs are present.""" + """Check that a minimal set of files used for documentation are present.""" assert Path(module_path / file).exists() diff --git a/tests/local_test.py b/tests/local_test.py index 0c9e217..6df90a9 100644 --- a/tests/local_test.py +++ b/tests/local_test.py @@ -18,7 +18,7 @@ def build_request(case: str): """Construct a request for the given case.""" return " ".join( - [f"results/{case}/aggregated/{tech}_cf.parquet" for tech in TECHNOLOGIES] + [f"results/{case}/aggregated/{tech}_inflow_pu.parquet" for tech in TECHNOLOGIES] ) diff --git a/workflow/Snakefile b/workflow/Snakefile index 6d6a754..179d086 100644 --- a/workflow/Snakefile +++ b/workflow/Snakefile @@ -2,7 +2,20 @@ import yaml from snakemake.utils import min_version, validate -min_version("8.10") +min_version("9.19") + + +# !!!!! IMPORTANT !!!!! +# Define pathvars for all user resource files and result files +# This allows users to re-wire how the module is used in their workflow with ease. +pathvars: + # User resources + shapes="/user/{shapes}/shapes.parquet", + powerplants="/user/{shapes}/powerplants.parquet", + # Module results + statistics="/{shapes}/statistics/generation.parquet", + disaggregated_inflow="/{shapes}/disaggregated/inflow_mwh.parquet", + aggregated_inflow_pu="/{shapes}/aggregated/{plant_type}_inflow_pu.parquet", # Load the example configuration. 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+https://conda.anaconda.org/conda-forge/noarch/atlite-0.4.0-pyhd8ed1ab_1.conda#fc0fd282b8dc98db83965cb5e3f5f5d3 diff --git a/workflow/envs/default.yaml b/workflow/envs/hydropower.yaml similarity index 77% rename from workflow/envs/default.yaml rename to workflow/envs/hydropower.yaml index 25d7bcd..096a5cf 100644 --- a/workflow/envs/default.yaml +++ b/workflow/envs/hydropower.yaml @@ -1,7 +1,8 @@ -name: default +name: hydropower channels: - - conda-forge - - nodefaults +- conda-forge +- bioconda +- nodefaults dependencies: - atlite = 0.4.0 - geopandas = 1.0.1 diff --git a/workflow/internal/HydroSHEDS.txt b/workflow/internal/HydroSHEDS.txt new file mode 100644 index 0000000..08e80e0 --- /dev/null +++ b/workflow/internal/HydroSHEDS.txt @@ -0,0 +1,8 @@ +This product [Modelblocks - Module hydropower] incorporates data from the HydroSHEDS version 1 database +which is © World Wildlife Fund, Inc. (2006-2022) and has been used herein under license. WWF has not evaluated the +data as altered and incorporated within [Modelblocks - Module hydropower], and therefore gives no warranty +regarding its accuracy, completeness, currency or suitability for any particular purpose. Portions of the HydroSHEDS v1 +database incorporate data which are the intellectual property rights of © USGS (2006-2008), NASA (2000-2005), ESRI +(1992-1998), CIAT (2004-2006), UNEP-WCMC (1993), WWF (2004), Commonwealth of Australia (2007), and Her +Royal Majesty and the British Crown and are used under license. The HydroSHEDS v1 database and more information +are available at https://www.hydrosheds.org. diff --git a/workflow/internal/settings.yaml b/workflow/internal/settings.yaml index b31e4d7..74a580f 100644 --- a/workflow/internal/settings.yaml +++ b/workflow/internal/settings.yaml @@ -2,12 +2,12 @@ resources: automatic: # Links for automatically downloaded files - EIA: "https://zenodo.org/records/16779120/files/EIA-INTL.txt" + EIA: "https://zenodo.org/records/19401947/files/EIA-INTL.zip?download=1" HydroBASINS: https://data.hydrosheds.org/file/hydrobasins/standard/hybas_{continent}_lev01-12_v1c.zip continent_codes: ["af", "ar", "as", "au", "eu", "gr", "na", "sa", "si"] pfafstetter_level_codes: ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"] era5_crs: "epsg:4326" -capacity_factor_range: +pu_factor_range: reservoir: max: 10 # Allow dams to take additional inflow, as they are controllable. min: 0.001 diff --git a/workflow/report/cf_per_shape.rst b/workflow/report/cf_per_shape.rst deleted file mode 100644 index ff5b7ef..0000000 --- a/workflow/report/cf_per_shape.rst +++ /dev/null @@ -1 +0,0 @@ -Capacity factors of a technology are obtained by aggregating its total capacity in a region. diff --git a/workflow/report/pu_per_shape.rst b/workflow/report/pu_per_shape.rst new file mode 100644 index 0000000..68f66bf --- /dev/null +++ b/workflow/report/pu_per_shape.rst @@ -0,0 +1 @@ +Per-unit inflow timeseries per-technology obtained by aggregating its total capacity in a region. diff --git a/workflow/rules/automatic.smk b/workflow/rules/automatic.smk index 8da013f..4bfbac8 100644 --- a/workflow/rules/automatic.smk +++ b/workflow/rules/automatic.smk @@ -7,13 +7,14 @@ rule download_eia: params: url=internal["resources"]["automatic"]["EIA"], output: - path="resources/automatic/downloads/EIA-INTL.txt", + zipfile="/automatic/eia/EIA-INTL.zip", log: - "logs/download_eia.log", + "/download_eia.log", + localrule: True conda: "../envs/shell.yaml" shell: - r'curl -fsSLo {output.path:q} "{params.url}"' + r'curl -fsSLo {output.zipfile:q} "{params.url}"' rule download_basin: @@ -24,13 +25,14 @@ rule download_basin: continent=wc.continent ), output: - path=temp("resources/automatic/hydrobasin_{continent}.zip"), + path="/automatic/hydrobasins/{continent}.zip", wildcard_constraints: continent="|".join(internal["continent_codes"]), conda: "../envs/shell.yaml" log: - "logs/download_basin_{continent}.log", + "/download_basin_{continent}.log", + localrule: True shell: r'curl -fsSLo {output.path:q} "{params.url}"' @@ -43,17 +45,18 @@ rule download_cutout: start_year=config["years"]["start"], end_year=config["years"]["end"], input: - shapes="resources/user/{shapes}/shapes.parquet", + shapes="", output: - cutout="resources/automatic/{shapes}/cutout.nc", + cutout="/automatic/shapes/{shapes}/cutout.nc", plot=report( - "resources/automatic/{shapes}/cutout.png", + "/automatic/shapes/{shapes}/cutout.png", caption="../report/cutout.rst", category="Hydropower module", ), conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" log: - "logs/{shapes}/download_cutout.log", + "/{shapes}/download_cutout.log", + localrule: True script: "../scripts/download_cutout.py" diff --git a/workflow/rules/basins.smk b/workflow/rules/basins.smk index 1348d93..90dfa7b 100644 --- a/workflow/rules/basins.smk +++ b/workflow/rules/basins.smk @@ -8,16 +8,18 @@ rule basins_extract_pfafstetter_level: level=lambda wc: wc.level, continent=lambda wc: wc.continent, input: - zip_file="resources/automatic/hydrobasin_{continent}.zip", + zip_file=rules.download_basin.output.path, output: - parquet_file=temp("resources/automatic/hydrobasin_{continent}_{level}.parquet"), + parquet_file=temp( + "/automatic/hydrobasins/{continent}_{level}.parquet" + ), wildcard_constraints: continent="|".join(internal["continent_codes"]), level="|".join(internal["pfafstetter_level_codes"]), conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" log: - "logs/basins_extract_pfafstetter_level_{continent}_{level}.log", + "/basins_extract_pfafstetter_level_{continent}_{level}.log", script: "../scripts/basins_extract_pfafstetter_level.py" @@ -27,19 +29,19 @@ rule basins_combine_continents: "Combine all HydroBASINS into a single dataset for Pfafstetter level '{wildcards.level}'." input: continent_files=expand( - "resources/automatic/hydrobasin_{continent}_{{level}}.parquet", + "/automatic/hydrobasins/{continent}_{{level}}.parquet", continent=internal["continent_codes"], ), output: - global_file="resources/automatic/hydrobasin_global_{level}.parquet", + global_file="/automatic/hydrobasins/global_{level}.parquet", plot=report( - "resources/automatic/hydrobasin_global_{level}.png", + "/automatic/hydrobasins/global_{level}.png", caption="../report/basins.rst", category="Hydropower module", ), conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" log: - "logs/basins_combine_continents_{level}.log", + "/basins_combine_continents_{level}.log", script: "../scripts/basins_combine_continents.py" diff --git a/workflow/rules/powerplants.smk b/workflow/rules/powerplants.smk index cb55c8e..21bddb4 100644 --- a/workflow/rules/powerplants.smk +++ b/workflow/rules/powerplants.smk @@ -8,20 +8,20 @@ rule powerplants_adjust_location: crs=config["crs"], basin_adjustment=config["powerplants"]["basin_adjustment"], input: - basins=f"resources/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet", - powerplants="resources/user/{shapes}/powerplants.parquet", - shapes="resources/user/{shapes}/shapes.parquet", + basins=f"/automatic/hydrobasins/global_{config["pfafstetter_level"]}.parquet", + powerplants="", + shapes="", output: - adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet", + adjusted_powerplants="/automatic/shapes/{shapes}/adjusted_powerplants.parquet", plot=report( - "resources/automatic/{shapes}/adjusted_powerplants.png", + "/automatic/shapes/{shapes}/adjusted_powerplants.png", caption="../report/adjustment.rst", category="Hydropower module", ), log: - "logs/{shapes}/powerplants_adjust_location.log", + "/{shapes}/powerplants_adjust_location.log", conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" script: "../scripts/powerplants_adjust_location.py" @@ -32,16 +32,16 @@ rule powerplants_get_inflow_m3: params: smoothing_hours=config["smoothing_hours"], input: - adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet", - basins=f"resources/automatic/hydrobasin_global_{config["pfafstetter_level"]}.parquet", - shapes="resources/user/{shapes}/shapes.parquet", - cutout="resources/automatic/{shapes}/cutout.nc", + adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants, + basins=f"/automatic/hydrobasins/global_{config["pfafstetter_level"]}.parquet", + shapes="", + cutout=rules.download_cutout.output.cutout, output: - inflow="resources/automatic/{shapes}/disaggregated/inflow_m3.parquet", + inflow="/automatic/shapes/{shapes}/disaggregated/inflow_m3.parquet", log: - "logs/{shapes}/powerplants_get_inflow_m3.log", + "/{shapes}/powerplants_get_inflow_m3.log", conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" script: "../scripts/powerplants_get_inflow_m3.py" @@ -50,42 +50,42 @@ rule powerplants_get_inflow_mwh: message: "Calculating powerplant generation in MWh and applying corrections using historical data." params: - capacity_factor_range=internal["capacity_factor_range"], + pu_factor_range=internal["pu_factor_range"], technology_mapping=config["powerplants"]["technology_mapping"], input: - inflow_m3="resources/automatic/{shapes}/disaggregated/inflow_m3.parquet", - adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet", - statistics="results/{shapes}/statistics/generation.parquet", + inflow_m3=rules.powerplants_get_inflow_m3.output.inflow, + adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants, + statistics="", output: - inflow_mwh="results/{shapes}/disaggregated/inflow_mwh.parquet", + inflow_mwh="", log: - "logs/{shapes}/powerplants_get_inflow_mwh.log", + "/{shapes}/powerplants_get_inflow_mwh.log", conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" script: "../scripts/powerplants_get_inflow_mwh.py" -rule powerplants_get_cf_per_shape: +rule powerplants_get_pu_per_shape: message: - "Calculating capacity factor timeseries per shape for '{wildcards.plant_type}'." + "Calculating aggregated per-unit timeseries per shape for '{wildcards.plant_type}'." params: technology_mapping=config["powerplants"]["technology_mapping"], input: - adjusted_powerplants="resources/automatic/{shapes}/adjusted_powerplants.parquet", - inflow_mwh="results/{shapes}/disaggregated/inflow_mwh.parquet", + adjusted_powerplants=rules.powerplants_adjust_location.output.adjusted_powerplants, + inflow_mwh="", output: - timeseries="results/{shapes}/aggregated/{plant_type}_cf.parquet", + timeseries="", figure=report( - "results/{shapes}/aggregated/{plant_type}_cf.pdf", - caption="../report/cf_per_shape.rst", + "/{shapes}/aggregated/{plant_type}_inflow_pu.pdf", + caption="../report/pu_per_shape.rst", category="Hydropower module", ), wildcard_constraints: plant_type="|".join(["run_of_river", "reservoir"]), log: - "logs/{shapes}/powerplants_get_cf_per_shape_{plant_type}.log", + "/{shapes}/powerplants_get_pu_per_shape_{plant_type}.log", conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" script: - "../scripts/powerplants_get_cf_per_shape.py" + "../scripts/powerplants_get_pu_per_shape.py" diff --git a/workflow/rules/statistics.smk b/workflow/rules/statistics.smk index b8fc8fd..d2770cd 100644 --- a/workflow/rules/statistics.smk +++ b/workflow/rules/statistics.smk @@ -7,14 +7,14 @@ rule prepare_statistics: params: years=config["years"], input: - shapes="resources/user/{shapes}/shapes.parquet", - eia_bulk="resources/automatic/downloads/EIA-INTL.txt", + shapes="", + eia_bulk=rules.download_eia.output.zipfile, output: - generation="results/{shapes}/statistics/generation.parquet", - plot="results/{shapes}/statistics/generation.pdf", + generation="", + plot="/{shapes}/statistics/generation.pdf", log: - "logs/{shapes}/prepare_statistics.log", + "/{shapes}/prepare_statistics.log", conda: - "../envs/default.yaml" + "../envs/hydropower.yaml" script: "../scripts/prepare_statistics.py" diff --git a/workflow/scripts/basins_combine_continents.py b/workflow/scripts/basins_combine_continents.py index 4a717ba..e87356c 100644 --- a/workflow/scripts/basins_combine_continents.py +++ b/workflow/scripts/basins_combine_continents.py @@ -9,16 +9,15 @@ if TYPE_CHECKING: snakemake: Any -sys.stderr = open(snakemake.log[0], "w", buffering=1) def _plot_combined_basins(global_file, level, path): combined = gpd.read_parquet(global_file) - ax = combined.plot(figsize=(20, 12)) + ax = combined.plot(figsize=(10, 6)) ax.set_title(f"Global hydro basins at Pfafstetter level {level}") ax.set_xlabel("longitude") ax.set_ylabel("latitude") - plt.savefig(path, bbox_inches="tight") + plt.savefig(path, dpi=200, bbox_inches="tight") def basins_combine_continents(continent_files, global_file): @@ -35,6 +34,7 @@ def basins_combine_continents(continent_files, global_file): if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) basins_combine_continents( continent_files=snakemake.input.continent_files, global_file=snakemake.output.global_file, diff --git a/workflow/scripts/download_cutout.py b/workflow/scripts/download_cutout.py index 2ce8e67..b9abe20 100644 --- a/workflow/scripts/download_cutout.py +++ b/workflow/scripts/download_cutout.py @@ -7,19 +7,25 @@ import geopandas as gpd import matplotlib.pyplot as plt from pyproj import CRS +from shapely.geometry import box if TYPE_CHECKING: snakemake: Any -sys.stderr = open(snakemake.log[0], "w", buffering=1) def _plot_cutout(shapes_file: str, cutout_file: str, era5_crs: str, path: str): cutout = atlite.Cutout(cutout_file) - shapes = gpd.read_parquet(shapes_file) - ax = shapes.to_crs(era5_crs).plot(figsize=(10, 10)) - cutout.grid.plot(ax=ax, edgecolor="grey", color="None") - ax.set_title("ERA5 cutout") - plt.savefig(path, bbox_inches="tight") + shapes = gpd.read_parquet(shapes_file).to_crs(era5_crs) + + fig, ax = plt.subplots(layout="constrained") + shapes.boundary.plot(ax=ax, color="black") + gpd.GeoSeries([box(*cutout.bounds)], crs=era5_crs).boundary.plot( + ax=ax, color="red", linewidth=1 + ) + + ax.set(title="ERA5 cutout", xticks=[], yticks=[], xlabel="", ylabel="") + fig.savefig(path, dpi=200, bbox_inches="tight", pad_inches="layout") + plt.close(fig) def runoff_cutout(input_shapes, era5_crs, start_year, end_year, output_netcdf): @@ -43,6 +49,7 @@ def runoff_cutout(input_shapes, era5_crs, start_year, end_year, output_netcdf): if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) runoff_cutout( input_shapes=snakemake.input.shapes, era5_crs=snakemake.params.era5_crs, diff --git a/workflow/scripts/powerplants_adjust_location.py b/workflow/scripts/powerplants_adjust_location.py index 9d30640..122b562 100644 --- a/workflow/scripts/powerplants_adjust_location.py +++ b/workflow/scripts/powerplants_adjust_location.py @@ -11,7 +11,6 @@ if TYPE_CHECKING: snakemake: Any -sys.stderr = open(snakemake.log[0], "w", buffering=1) def _plot_adjustment( @@ -26,14 +25,15 @@ def _plot_adjustment( after = gpd.read_parquet(adjusted_powerplants_path).to_crs(crs["projected"]) difference = before[~before["powerplant_id"].isin(after["powerplant_id"])] - fig, ax = plt.subplots(figsize=(10, 10), layout="constrained") - ax = shapes.plot(ax=ax, color="royalblue") + fig, ax = plt.subplots(layout="constrained") + ax = shapes.plot(column="shape_class", ax=ax) after.plot(ax=ax, color="black", marker=".", markersize=8, label="Within") if not difference.empty: difference.plot(ax=ax, color="coral", marker=".", markersize=8, label="Dropped") + ax.set(xticks=[], yticks=[], xlabel="", ylabel="") ax.legend() ax.set_title("Powerplant adjustment") - fig.savefig(plot_path) + fig.savefig(plot_path, dpi=200, bbox_inches="tight") def powerplants_adjust_location( @@ -131,6 +131,7 @@ def powerplants_adjust_location( if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) powerplants_adjust_location( basins_path=snakemake.input.basins, powerplants_path=snakemake.input.powerplants, diff --git a/workflow/scripts/powerplants_get_inflow_mwh.py b/workflow/scripts/powerplants_get_inflow_mwh.py index 1e682a6..e417c69 100644 --- a/workflow/scripts/powerplants_get_inflow_mwh.py +++ b/workflow/scripts/powerplants_get_inflow_mwh.py @@ -43,18 +43,18 @@ def _estimate_bounded_powerplant_inflow( inflow_m3: pd.DataFrame, national_generation: pd.DataFrame, year: int, - capacity_factor_range: dict, + pu_factor_range: dict, ) -> pd.DataFrame: """Obtain magnitude-corrected hydropower timeseries dataset for a given year. The inflow timeseries will be scaled utilising national generation data. The aim is to correct its magnitude while retaining its dynamics. - A capacity factor range is used to determine the upper limit and zero-cutoff. + A per-unit factor range is used to determine the upper limit and zero-cutoff. General assumptions: - Annual total never exceeds installed capacity * upper limit. - - Values lower than the min. capacity factor range will be set to zero. + - Values lower than the min. per-unit factor range will be set to zero. """ inflow_m3_yr = inflow_m3[inflow_m3.index.year == year] generation_yr = national_generation[national_generation.year == year] @@ -95,10 +95,10 @@ def _estimate_bounded_powerplant_inflow( for plant_id, plant_data in plants_by_id.iterrows(): inflow_m3_per_hour = inflow_m3_yr[plant_id] annual_generation_mwh = annual_powerplant_mwh[plant_id] - cf_range = capacity_factor_range[plant_data["technology"]] + pu_range = pu_factor_range[plant_data["technology"]] # Obtain MWh, ensuring max-cutoff is not exceeded - max_cutoff = plant_data["output_capacity_mw"] * cf_range["max"] + max_cutoff = plant_data["output_capacity_mw"] * pu_range["max"] max_generation_mwh = max_cutoff * hours_in_year if annual_generation_mwh > max_generation_mwh: raise ValueError( @@ -109,7 +109,7 @@ def _estimate_bounded_powerplant_inflow( ) # Convert values below the minimum range to zero, to avoid very small numbers - zero_cutoff = plant_data["output_capacity_mw"] * cf_range["min"] + zero_cutoff = plant_data["output_capacity_mw"] * pu_range["min"] inflow_mwh_yr[plant_id] = inflow_mwh_yr[plant_id].where( inflow_mwh_yr[plant_id] >= zero_cutoff, 0 ) @@ -121,7 +121,7 @@ def powerplants_get_inflow_mwh( inflow_m3_file: str, powerplants_file: str, statistics_file: str, - capacity_factor_range: dict, + pu_factor_range: dict, technology_mapping: dict, inflow_mwh_file: str, ): @@ -131,7 +131,7 @@ def powerplants_get_inflow_mwh( inflow_m3_file (str): Dataset with water inflow per-powerplant in m3. powerplants_file (str): Powerplants dataset (adjusted). statistics_file (str): Annual national hydropower generation per country. - capacity_factor_range (dict): Max/min range of inflow in relation to the plant's capacity. + pu_factor_range (dict): Max/min range of inflow in relation to the plant's capacity. technology_mapping (dict): names of technologies in user files. inflow_mwh_file (str): Resulting file with energy inflow per powerplant in MWh. """ @@ -143,16 +143,14 @@ def powerplants_get_inflow_mwh( # Match user technology names with those in our internal settings # and process only relevant technologies - remapped_cf_range = { - v: capacity_factor_range[k] for k, v in technology_mapping.items() - } + remapped_pu_range = {v: pu_factor_range[k] for k, v in technology_mapping.items()} powerplants = powerplants[ powerplants["technology"].isin(technology_mapping.values()) ] year_results = [] for year in sorted(inflow_m3.index.year.unique()): inflow_mwh_yr = _estimate_bounded_powerplant_inflow( - powerplants, inflow_m3, generation, year, remapped_cf_range + powerplants, inflow_m3, generation, year, remapped_pu_range ) year_results.append(inflow_mwh_yr) @@ -166,7 +164,7 @@ def powerplants_get_inflow_mwh( inflow_m3_file=snakemake.input.inflow_m3, powerplants_file=snakemake.input.adjusted_powerplants, statistics_file=snakemake.input.statistics, - capacity_factor_range=snakemake.params.capacity_factor_range, + pu_factor_range=snakemake.params.pu_factor_range, technology_mapping=snakemake.params.technology_mapping, inflow_mwh_file=snakemake.output.inflow_mwh, ) diff --git a/workflow/scripts/powerplants_get_cf_per_shape.py b/workflow/scripts/powerplants_get_pu_per_shape.py similarity index 54% rename from workflow/scripts/powerplants_get_cf_per_shape.py rename to workflow/scripts/powerplants_get_pu_per_shape.py index 36da51e..4c7775d 100644 --- a/workflow/scripts/powerplants_get_cf_per_shape.py +++ b/workflow/scripts/powerplants_get_pu_per_shape.py @@ -1,4 +1,4 @@ -"""Capacity factor calculation for hydropower basin and run-of-river plants.""" +"""Per-unit inflow factor calculation for hydropower basin and run-of-river plants.""" import sys from typing import TYPE_CHECKING, Any @@ -12,37 +12,48 @@ if TYPE_CHECKING: snakemake: Any -sys.stderr = open(snakemake.log[0], "w", buffering=1) -def _plot_cf_per_shape(cf_file: str, plant_type: str, fig_path: str): +def _plot_pu_per_shape(cf_file: str, plant_type: str, fig_path: str): + """Plot a time series for every shape.""" data = pd.read_parquet(cf_file) n = max(1, len(data.columns)) - fig, axes = plt.subplots(n, 1, figsize=(10, 1.5 * n), squeeze=False) + row_height = 1.6 + fig_height = max(3.0, 1.0 + n * row_height) + + fig, axes = plt.subplots( + nrows=n, ncols=1, figsize=(10, fig_height), squeeze=False, layout="constrained" + ) axes = axes.ravel() + fig.suptitle(f"Per-unit inflow factors {plant_type}", fontsize="x-large") + if data.empty: - _plots.draw_empty(axes[0], f"Inflow capacity factors {plant_type}") + _plots.draw_empty(axes[0], f"No per-unit inflow factors {plant_type}") else: - for idx, shape_id in enumerate(data.columns): - if data[shape_id].dropna().empty: - _plots.draw_empty(axes[idx], str(shape_id)) + for ax, shape_id in zip(axes, data.columns): + series = data[shape_id].dropna() + + if series.empty: + _plots.draw_empty(ax, str(shape_id)) else: - data[shape_id].plot(ax=axes[idx]) - axes[idx].set_title(str(shape_id)) - axes[idx].set_xlabel("") + ax.plot(data.index, data[shape_id]) + ax.set_title( + str(shape_id), loc="left", fontsize="medium", fontweight="bold" + ) + ax.margins(x=0) + + ax.set_xlabel("") - fig.suptitle(f"Inflow capacity factors {plant_type}", fontsize="x-large") - fig.tight_layout(rect=(0, 0, 1, 0.96)) - fig.savefig(fig_path, bbox_inches="tight") + fig.savefig(fig_path, bbox_inches="tight", pad_inches="layout") plt.close(fig) -def _get_capacity_factors_timeseries( +def _get_pu_factor_timeseries( tech: str, powerplants: pd.DataFrame, inflow_mwh: pd.DataFrame ) -> pd.DataFrame: - """Calculate capacity factor timeseries within a shape for a given technology. + """Calculate per-unit factor timeseries within a shape for a given technology. Args: tech (str): name of the powerplant technology. @@ -50,7 +61,7 @@ def _get_capacity_factors_timeseries( inflow_mwh (pd.DataFrame): timeseries of energy inflow per powerplant. Returns: - pd.DataFrame: capacity factor timeseries (row: timestep, column: shape_id). + pd.DataFrame: pu factor timeseries (row: timestep, column: shape_id). """ tech_powerplants = powerplants[powerplants["technology"] == tech] group = tech_powerplants.groupby(["shape_id"]) @@ -58,55 +69,54 @@ def _get_capacity_factors_timeseries( shape_powerplants = group["powerplant_id"].apply(list) shape_ids = sorted(tech_powerplants.shape_id.unique()) - cf_timeseries = pd.DataFrame(np.nan, index=inflow_mwh.index, columns=shape_ids) + pu_timeseries = pd.DataFrame(np.nan, index=inflow_mwh.index, columns=shape_ids) for shape_id in shape_ids: - cf_timeseries[shape_id] = ( + pu_timeseries[shape_id] = ( inflow_mwh[shape_powerplants[shape_id]].sum(axis="columns") / shape_net_cap[shape_id] ) - if cf_timeseries.isna().any().any(): - ValueError( - f"Calculated capacity factor timeseries must not contain null values {tech}." + if pu_timeseries.isna().any().any(): + raise ValueError( + f"Calculated per-unit factor timeseries must not contain null values {tech}." ) - cf_timeseries.attrs = { - "long_name": "Capacity factors", + pu_timeseries.attrs = { + "long_name": "Per-unit factors", "units": None, "technology": tech, } - return cf_timeseries + return pu_timeseries -def powerplants_get_cf_per_shape( +def powerplants_get_pu_per_shape( powerplants_file: gpd.GeoDataFrame, inflow_mwh_file: pd.DataFrame, plant_type: str, technology_mapping: dict, output_path: str, ): - """Construct a capacity factor file for each type of hydro plant.""" + """Construct a per-unit factor file for each type of hydro plant.""" powerplants = gpd.read_parquet(powerplants_file) inflow_mwh = pd.read_parquet(inflow_mwh_file) _schemas.PowerplantSchema.validate(powerplants) user_plant_name = technology_mapping[plant_type] - cap_factors = _get_capacity_factors_timeseries( - user_plant_name, powerplants, inflow_mwh - ) + cap_factors = _get_pu_factor_timeseries(user_plant_name, powerplants, inflow_mwh) cap_factors.to_parquet(output_path) if __name__ == "__main__": - powerplants_get_cf_per_shape( + sys.stderr = open(snakemake.log[0], "w", buffering=1) + powerplants_get_pu_per_shape( powerplants_file=snakemake.input.adjusted_powerplants, inflow_mwh_file=snakemake.input.inflow_mwh, plant_type=snakemake.wildcards.plant_type, technology_mapping=snakemake.params.technology_mapping, output_path=snakemake.output.timeseries, ) - _plot_cf_per_shape( + _plot_pu_per_shape( cf_file=snakemake.output.timeseries, plant_type=snakemake.wildcards.plant_type, fig_path=snakemake.output.figure, diff --git a/workflow/scripts/prepare_statistics.py b/workflow/scripts/prepare_statistics.py index 498fe7e..0a13030 100644 --- a/workflow/scripts/prepare_statistics.py +++ b/workflow/scripts/prepare_statistics.py @@ -1,6 +1,8 @@ """Aggregated hydropower generation data at a country level.""" +import io import sys +import zipfile from typing import TYPE_CHECKING, Any import _plots @@ -9,11 +11,9 @@ import numpy as np import pandas as pd from matplotlib import pyplot as plt -from matplotlib.ticker import MaxNLocator if TYPE_CHECKING: snakemake: Any -sys.stderr = open(snakemake.log[0], "w", buffering=1) CAT_ID = { "hydropower": 33 @@ -60,14 +60,16 @@ def prepare( Args: input_shapes (str): shapes parquet file. - input_eia_bulk (str): eia bulk txt database. + input_eia_bulk (str): EIA bulk zip archive containing INTL.txt. years (dict): dictionary with start/end years. output_generation (str): hydropower generation parquet file. """ shapes = gpd.read_parquet(input_shapes) shapes = _schemas.ShapeSchema.validate(shapes) - eia_stats = pd.read_json(input_eia_bulk, lines=True) + with zipfile.ZipFile(input_eia_bulk) as zf: + with zf.open("INTL.txt") as f: + eia_stats = pd.read_json(io.TextIOWrapper(f, encoding="utf-8"), lines=True) results = [] for country in shapes["country_id"].unique(): @@ -87,63 +89,78 @@ def prepare( def plot( - input_generation: str, output_plot: str, figsize: tuple[float, float] = (12, 6) + input_generation: str, + output_plot: str, + *, + min_fig_width: float = 5, + width_per_year: float = 0.35, + row_height: float = 3.0, + base_height: float = 0.8, + x_tick_rotation: float = 45, + legend_anchor_x: float = 1.02, ): """Plot per-country evolution of hydropower generation over time.""" df_cats = pd.read_parquet(input_generation) - countries = set(df_cats["country_id"].unique()) - n_countries = len(countries) + countries = sorted(df_cats["country_id"].dropna().unique()) + years = sorted(df_cats["year"].dropna().unique()) + + n_countries = max(1, len(countries)) + n_years = max(1, len(years)) + + fig_width = max(min_fig_width, width_per_year * n_years) + fig_height = base_height + row_height * n_countries fig, axes = plt.subplots( nrows=n_countries, ncols=1, - figsize=(figsize[0], figsize[1] * n_countries), - sharex=False, - tight_layout=True, + figsize=(fig_width, fig_height), + squeeze=False, + layout="constrained", ) - if n_countries == 1: - axes = [axes] - - for ax, country in zip(axes, sorted(countries)): - cats = df_cats[df_cats["country_id"] == country] - - if cats.empty: - _plots.draw_empty(ax, country) - - else: - pivot = ( - cats.pivot_table( - index="year", - columns="category", - values="generation_mwh", - aggfunc="sum", - ) - .fillna(0) - .sort_index() - ) - _ = pivot.plot(kind="bar", stacked=True, ax=ax, legend=False, zorder=1) + axes = axes.ravel() + + if not countries: + _plots.draw_empty(axes[0], "No countries") + else: + for ax, country in zip(axes, countries): + cats = df_cats[df_cats["country_id"] == country] + + if cats.empty: + _plots.draw_empty(ax, str(country)) + continue + + pivot = cats.pivot_table( + index="year", + columns="category", + values="generation_mwh", + aggfunc="sum", + fill_value=0, + ).sort_index() + + pivot.plot.bar(ax=ax, stacked=True, legend=False, zorder=1) handles, labels = ax.get_legend_handles_labels() ax.legend( handles[::-1], labels[::-1], title="Category", - bbox_to_anchor=(1.02, 0.5), + bbox_to_anchor=(legend_anchor_x, 0.5), loc="center left", borderaxespad=0, ) - ax.xaxis.set_major_locator(MaxNLocator(nbins=10, integer=True)) - ax.tick_params(axis="x", rotation=45) - ax.set_title(country) - ax.set_ylabel("Generation ($MWh$)") + ax.tick_params(axis="x", labelrotation=x_tick_rotation) + ax.set_title(str(country), fontweight="bold") + ax.set_ylabel(r"Generation ($MWh$)") ax.set_xlabel("Year") - fig.savefig(output_plot, bbox_inches="tight") + fig.savefig(output_plot, bbox_inches="tight", pad_inches="layout") + plt.close(fig) if __name__ == "__main__": + sys.stderr = open(snakemake.log[0], "w", buffering=1) prepare( input_shapes=snakemake.input.shapes, input_eia_bulk=snakemake.input.eia_bulk,